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Fuzzy cognitive maps converted to virtual worlds using Google's AI models

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel method to convert sequenced fuzzy cognitive maps (FCMs) into causal virtual worlds, utilizing large language and video models. This approach models the causal structure and evolution of a virtual environment using FCMs, guiding the creation of dynamic meta-rules that dictate causal scenarios. These meta-rules are then translated by an LLM agent into scripts, which a large video generator uses to produce video scenes. In a demonstration, Google's Gemini 3.1 generated a script for an undersea dolphin and shark world, and Google's Veo 3.1 created the corresponding video. AI

IMPACT This research demonstrates a novel method for creating dynamic virtual worlds using LLMs and video generators, potentially impacting simulation and content creation.

RANK_REASON Academic paper detailing a new method for converting fuzzy cognitive maps to virtual worlds using AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Fuzzy cognitive maps converted to virtual worlds using Google's AI models

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Academic paper detailing a new method for converting fuzzy cognitive maps to virtual worlds using AI models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Akash Kumar Panda, Olaoluwa Adigun, Bart Kosko ·

    Converting Sequenced Fuzzy Cognitive Maps to Causal Virtual Worlds with Large Video Generators

    arXiv:2609.14985v1 Announce Type: new Abstract: We show how users can create and manipulate causal virtual worlds with large-language-model (LLM) and large-video-model agents. The approach uses feedback fuzzy cognitive maps (FCMs) both to model the granular causal structure of th…

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